Overview

Brought to you by YData

Dataset statistics

Number of variables	20
Number of observations	2059
Missing cells	745
Missing cells (%)	1.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	321.8 KiB
Average record size in memory	160.1 B

Variable types

Categorical	7
Text	5
Numeric	8

Alerts

`Fuel Type` is highly imbalanced (61.5%)	Imbalance
`Owner` is highly imbalanced (64.4%)	Imbalance
`Seller Type` is highly imbalanced (86.9%)	Imbalance
`Engine` has 80 (3.9%) missing values	Missing
`Max Power` has 80 (3.9%) missing values	Missing
`Max Torque` has 80 (3.9%) missing values	Missing
`Drivetrain` has 136 (6.6%) missing values	Missing
`Length` has 64 (3.1%) missing values	Missing
`Width` has 64 (3.1%) missing values	Missing
`Height` has 64 (3.1%) missing values	Missing
`Seating Capacity` has 64 (3.1%) missing values	Missing
`Fuel Tank Capacity` has 113 (5.5%) missing values	Missing
`Kilometer` is highly skewed (γ1 = 20.98071903)	Skewed

Reproduction

Analysis started	2024-12-09 12:48:01.554955
Analysis finished	2024-12-09 12:48:10.194352
Duration	8.64 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

Make
Categorical

Distinct	33
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

Maruti Suzuki	440
Hyundai	349
Mercedes-Benz	171
Honda	158
Toyota	132
Other values (28)	809

Length

Max length	13
Median length	10
Mean length	7.9791161
Min length	2

Characters and Unicode

Total characters	16429
Distinct characters	44
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	Honda
2nd row	Maruti Suzuki
3rd row	Hyundai
4th row	Toyota
5th row	Toyota

Common Values

Value	Count	Frequency (%)
Maruti Suzuki	440	21.4%
Hyundai	349	16.9%
Mercedes-Benz	171	8.3%
Honda	158	7.7%
Toyota	132	6.4%
Audi	127	6.2%
BMW	121	5.9%
Mahindra	119	5.8%
Tata	57	2.8%
Volkswagen	50	2.4%
Other values (23)	335	16.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
maruti	440	17.4%
suzuki	440	17.4%
hyundai	349	13.8%
mercedes-benz	171	6.8%
honda	158	6.2%
toyota	132	5.2%
audi	127	5.0%
bmw	121	4.8%
mahindra	119	4.7%
tata	57	2.3%
Other values (25)	418	16.5%

Most occurring characters

Value	Count	Frequency (%)
u	1878	11.4%
a	1687	10.3%
i	1532	9.3%
d	1045	6.4%
n	954	5.8%
e	886	5.4%
M	884	5.4%
r	855	5.2%
t	694	4.2%
o	657	4.0%
Other values (34)	5357	32.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	16429	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
u	1878	11.4%
a	1687	10.3%
i	1532	9.3%
d	1045	6.4%
n	954	5.8%
e	886	5.4%
M	884	5.4%
r	855	5.2%
t	694	4.2%
o	657	4.0%
Other values (34)	5357	32.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	16429	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
u	1878	11.4%
a	1687	10.3%
i	1532	9.3%
d	1045	6.4%
n	954	5.8%
e	886	5.4%
M	884	5.4%
r	855	5.2%
t	694	4.2%
o	657	4.0%
Other values (34)	5357	32.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	16429	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
u	1878	11.4%
a	1687	10.3%
i	1532	9.3%
d	1045	6.4%
n	954	5.8%
e	886	5.4%
M	884	5.4%
r	855	5.2%
t	694	4.2%
o	657	4.0%
Other values (34)	5357	32.6%

Model
Text

Distinct	1050
Distinct (%)	51.0%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

Length

Max length	50
Median length	38
Mean length	21.155415
Min length	4

Characters and Unicode

Total characters	43559
Distinct characters	72
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	613 ?
Unique (%)	29.8%

Sample

1st row	Amaze 1.2 VX i-VTEC
2nd row	Swift DZire VDI
3rd row	i10 Magna 1.2 Kappa2
4th row	Glanza G
5th row	Innova 2.4 VX 7 STR [2016-2020]

Value	Count	Frequency (%)
at	247	2.9%
1.2	176	2.1%
plus	170	2.0%
petrol	134	1.6%
sx	133	1.6%
vxi	131	1.5%
tdi	123	1.4%
1.6	120	1.4%
diesel	115	1.4%
o	107	1.3%
Other values (650)	7038	82.9%

Most occurring characters

Value	Count	Frequency (%)
	6439	14.8%
i	2039	4.7%
e	1885	4.3%
0	1806	4.1%
2	1765	4.1%
r	1651	3.8%
a	1546	3.5%
o	1442	3.3%
1	1369	3.1%
t	1347	3.1%
Other values (62)	22270	51.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	43559	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	6439	14.8%
i	2039	4.7%
e	1885	4.3%
0	1806	4.1%
2	1765	4.1%
r	1651	3.8%
a	1546	3.5%
o	1442	3.3%
1	1369	3.1%
t	1347	3.1%
Other values (62)	22270	51.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	43559	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	6439	14.8%
i	2039	4.7%
e	1885	4.3%
0	1806	4.1%
2	1765	4.1%
r	1651	3.8%
a	1546	3.5%
o	1442	3.3%
1	1369	3.1%
t	1347	3.1%
Other values (62)	22270	51.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	43559	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	6439	14.8%
i	2039	4.7%
e	1885	4.3%
0	1806	4.1%
2	1765	4.1%
r	1651	3.8%
a	1546	3.5%
o	1442	3.3%
1	1369	3.1%
t	1347	3.1%
Other values (62)	22270	51.1%

Price
Real number (ℝ)

Distinct	619
Distinct (%)	30.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1702991.7

Minimum	49000
Maximum	35000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	49000
5-th percentile	250000
Q1	484999
median	825000
Q3	1925000
95-th percentile	5900000
Maximum	35000000
Range	34951000
Interquartile range (IQR)	1440001

Descriptive statistics

Standard deviation	2419880.6
Coefficient of variation (CV)	1.4209586
Kurtosis	40.298155
Mean	1702991.7
Median Absolute Deviation (MAD)	465000
Skewness	4.9651429
Sum	3.5064599 × 10⁹
Variance	5.8558223 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
425000	26	1.3%
625000	24	1.2%
650000	22	1.1%
450000	20	1.0%
375000	20	1.0%
675000	19	0.9%
550000	19	0.9%
250000	19	0.9%
325000	18	0.9%
725000	16	0.8%
Other values (609)	1856	90.1%

Value	Count	Frequency (%)
49000	1	< 0.1%
71001	1	< 0.1%
100000	1	< 0.1%
114999	1	< 0.1%
120000	2	0.1%
130000	2	0.1%
135000	1	< 0.1%
140000	1	< 0.1%
141000	1	< 0.1%
145000	3	0.1%

Value	Count	Frequency (%)
35000000	1	< 0.1%
27500000	1	< 0.1%
24000000	1	< 0.1%
22000000	1	< 0.1%
20000000	3	0.1%
19300000	1	< 0.1%
18500000	2	0.1%
18000000	1	< 0.1%
16200000	1	< 0.1%
14900000	1	< 0.1%

Year
Real number (ℝ)

Distinct	22
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2016.4254

Minimum	1988
Maximum	2022
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	1988
5-th percentile	2011
Q1	2014
median	2017
Q3	2019
95-th percentile	2021
Maximum	2022
Range	34
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.3635636
Coefficient of variation (CV)	0.0016680823
Kurtosis	2.9266435
Mean	2016.4254
Median Absolute Deviation (MAD)	2
Skewness	-0.84068453
Sum	4151820
Variance	11.31356
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
2018	268	13.0%
2017	262	12.7%
2019	218	10.6%
2014	192	9.3%
2016	187	9.1%
2015	178	8.6%
2021	156	7.6%
2020	132	6.4%
2013	128	6.2%
2012	92	4.5%
Other values (12)	246	11.9%

Value	Count	Frequency (%)
1988	1	< 0.1%
1996	1	< 0.1%
2000	1	< 0.1%
2002	1	< 0.1%
2004	1	< 0.1%
2006	2	0.1%
2007	6	0.3%
2008	13	0.6%
2009	33	1.6%
2010	27	1.3%

Value	Count	Frequency (%)
2022	81	3.9%
2021	156	7.6%
2020	132	6.4%
2019	218	10.6%
2018	268	13.0%
2017	262	12.7%
2016	187	9.1%
2015	178	8.6%
2014	192	9.3%
2013	128	6.2%

Kilometer
Real number (ℝ)

Skewed

Distinct	847
Distinct (%)	41.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	54224.714

Minimum	0
Maximum	2000000
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	0
5-th percentile	8000
Q1	29000
median	50000
Q3	72000
95-th percentile	107991.1
Maximum	2000000
Range	2000000
Interquartile range (IQR)	43000

Descriptive statistics

Standard deviation	57361.721
Coefficient of variation (CV)	1.057852
Kurtosis	669.60863
Mean	54224.714
Median Absolute Deviation (MAD)	22000
Skewness	20.980719
Sum	1.1164869 × 10⁸
Variance	3.2903671 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
65000	33	1.6%
72000	32	1.6%
75000	29	1.4%
45000	29	1.4%
50000	29	1.4%
42000	28	1.4%
55000	26	1.3%
70000	26	1.3%
35000	22	1.1%
38000	21	1.0%
Other values (837)	1784	86.6%

Value	Count	Frequency (%)
0	1	< 0.1%
1	2	0.1%
75	1	< 0.1%
500	1	< 0.1%
600	1	< 0.1%
1000	1	< 0.1%
1102	1	< 0.1%
1300	2	0.1%
1374	1	< 0.1%
1500	1	< 0.1%

Value	Count	Frequency (%)
2000000	1	< 0.1%
925000	1	< 0.1%
440000	1	< 0.1%
261236	1	< 0.1%
240000	1	< 0.1%
222000	1	< 0.1%
219000	1	< 0.1%
211000	1	< 0.1%
195000	1	< 0.1%
192326	1	< 0.1%

Fuel Type
Categorical

Imbalance

Distinct	9
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

Diesel	1049
Petrol	942
CNG	50
Electric	7
LPG	5
Other values (4)	6

Length

Max length	12
Median length	6
Mean length	5.9339485
Min length	3

Characters and Unicode

Total characters	12218
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	Petrol
2nd row	Diesel
3rd row	Petrol
4th row	Petrol
5th row	Diesel

Common Values

Value	Count	Frequency (%)
Diesel	1049	50.9%
Petrol	942	45.8%
CNG	50	2.4%
Electric	7	0.3%
LPG	5	0.2%
Hybrid	3	0.1%
CNG + CNG	1	< 0.1%
Petrol + CNG	1	< 0.1%
Petrol + LPG	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
diesel	1049	50.8%
petrol	944	45.7%
cng	53	2.6%
electric	7	0.3%
lpg	6	0.3%
hybrid	3	0.1%
	3	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	3049	25.0%
l	2000	16.4%
i	1059	8.7%
D	1049	8.6%
s	1049	8.6%
r	954	7.8%
t	951	7.8%
P	950	7.8%
o	944	7.7%
G	59	0.5%
Other values (11)	154	1.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12218	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	3049	25.0%
l	2000	16.4%
i	1059	8.7%
D	1049	8.6%
s	1049	8.6%
r	954	7.8%
t	951	7.8%
P	950	7.8%
o	944	7.7%
G	59	0.5%
Other values (11)	154	1.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12218	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	3049	25.0%
l	2000	16.4%
i	1059	8.7%
D	1049	8.6%
s	1049	8.6%
r	954	7.8%
t	951	7.8%
P	950	7.8%
o	944	7.7%
G	59	0.5%
Other values (11)	154	1.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12218	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	3049	25.0%
l	2000	16.4%
i	1059	8.7%
D	1049	8.6%
s	1049	8.6%
r	954	7.8%
t	951	7.8%
P	950	7.8%
o	944	7.7%
G	59	0.5%
Other values (11)	154	1.3%

Transmission
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

Manual	1133
Automatic	926

Length

Max length	9
Median length	6
Mean length	7.3491986
Min length	6

Characters and Unicode

Total characters	15132
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Manual
2nd row	Manual
3rd row	Manual
4th row	Manual
5th row	Manual

Common Values

Value	Count	Frequency (%)
Manual	1133	55.0%
Automatic	926	45.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
manual	1133	55.0%
automatic	926	45.0%

Most occurring characters

Value	Count	Frequency (%)
a	3192	21.1%
u	2059	13.6%
t	1852	12.2%
M	1133	7.5%
n	1133	7.5%
l	1133	7.5%
A	926	6.1%
o	926	6.1%
m	926	6.1%
i	926	6.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15132	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	3192	21.1%
u	2059	13.6%
t	1852	12.2%
M	1133	7.5%
n	1133	7.5%
l	1133	7.5%
A	926	6.1%
o	926	6.1%
m	926	6.1%
i	926	6.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15132	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	3192	21.1%
u	2059	13.6%
t	1852	12.2%
M	1133	7.5%
n	1133	7.5%
l	1133	7.5%
A	926	6.1%
o	926	6.1%
m	926	6.1%
i	926	6.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15132	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	3192	21.1%
u	2059	13.6%
t	1852	12.2%
M	1133	7.5%
n	1133	7.5%
l	1133	7.5%
A	926	6.1%
o	926	6.1%
m	926	6.1%
i	926	6.1%

Location
Text

Distinct	77
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

Length

Max length	16
Median length	11
Mean length	6.7304517
Min length	3

Characters and Unicode

Total characters	13858
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.2%

Sample

1st row	Pune
2nd row	Ludhiana
3rd row	Lucknow
4th row	Mangalore
5th row	Mumbai

Value	Count	Frequency (%)
mumbai	361	17.2%
delhi	307	14.7%
pune	144	6.9%
bangalore	132	6.3%
hyderabad	116	5.5%
lucknow	78	3.7%
ahmedabad	70	3.3%
chennai	63	3.0%
kolkata	60	2.9%
kanpur	52	2.5%
Other values (70)	711	34.0%

Most occurring characters

Value	Count	Frequency (%)
a	2299	16.6%
i	1100	7.9%
e	982	7.1%
u	898	6.5%
n	892	6.4%
h	751	5.4%
r	725	5.2%
d	636	4.6%
l	634	4.6%
b	631	4.6%
Other values (39)	4310	31.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13858	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	2299	16.6%
i	1100	7.9%
e	982	7.1%
u	898	6.5%
n	892	6.4%
h	751	5.4%
r	725	5.2%
d	636	4.6%
l	634	4.6%
b	631	4.6%
Other values (39)	4310	31.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13858	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	2299	16.6%
i	1100	7.9%
e	982	7.1%
u	898	6.5%
n	892	6.4%
h	751	5.4%
r	725	5.2%
d	636	4.6%
l	634	4.6%
b	631	4.6%
Other values (39)	4310	31.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13858	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	2299	16.6%
i	1100	7.9%
e	982	7.1%
u	898	6.5%
n	892	6.4%
h	751	5.4%
r	725	5.2%
d	636	4.6%
l	634	4.6%
b	631	4.6%
Other values (39)	4310	31.1%

Color
Categorical

Distinct	17
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

White	802
Silver	285
Grey	220
Blue	190
Black	163
Other values (12)	399

Length

Max length	6
Median length	5
Mean length	4.8266149
Min length	3

Characters and Unicode

Total characters	9938
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Grey
2nd row	White
3rd row	Maroon
4th row	Red
5th row	Grey

Common Values

Value	Count	Frequency (%)
White	802	39.0%
Silver	285	13.8%
Grey	220	10.7%
Blue	190	9.2%
Black	163	7.9%
Red	154	7.5%
Brown	82	4.0%
Maroon	37	1.8%
Gold	30	1.5%
Bronze	28	1.4%
Other values (7)	68	3.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
white	802	39.0%
silver	285	13.8%
grey	220	10.7%
blue	190	9.2%
black	163	7.9%
red	154	7.5%
brown	82	4.0%
maroon	37	1.8%
gold	30	1.5%
bronze	28	1.4%
Other values (7)	68	3.3%

Most occurring characters

Value	Count	Frequency (%)
e	1771	17.8%
i	1096	11.0%
t	814	8.2%
h	814	8.2%
W	802	8.1%
r	702	7.1%
l	691	7.0%
B	471	4.7%
S	285	2.9%
v	285	2.9%
Other values (19)	2207	22.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9938	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1771	17.8%
i	1096	11.0%
t	814	8.2%
h	814	8.2%
W	802	8.1%
r	702	7.1%
l	691	7.0%
B	471	4.7%
S	285	2.9%
v	285	2.9%
Other values (19)	2207	22.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9938	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1771	17.8%
i	1096	11.0%
t	814	8.2%
h	814	8.2%
W	802	8.1%
r	702	7.1%
l	691	7.0%
B	471	4.7%
S	285	2.9%
v	285	2.9%
Other values (19)	2207	22.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9938	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1771	17.8%
i	1096	11.0%
t	814	8.2%
h	814	8.2%
W	802	8.1%
r	702	7.1%
l	691	7.0%
B	471	4.7%
S	285	2.9%
v	285	2.9%
Other values (19)	2207	22.2%

Owner
Categorical

Imbalance

Distinct	6
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

First	1619
Second	373
Third	42
UnRegistered Car	21
Fourth	3

Length

Max length	16
Median length	5
Mean length	5.296746
Min length	5

Characters and Unicode

Total characters	10906
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	First
2nd row	Second
3rd row	First
4th row	First
5th row	First

Common Values

Value	Count	Frequency (%)
First	1619	78.6%
Second	373	18.1%
Third	42	2.0%
UnRegistered Car	21	1.0%
Fourth	3	0.1%
4 or More	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
first	1619	77.8%
second	373	17.9%
third	42	2.0%
unregistered	21	1.0%
car	21	1.0%
fourth	3	0.1%
4	1	< 0.1%
or	1	< 0.1%
more	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
r	1708	15.7%
i	1682	15.4%
t	1643	15.1%
s	1640	15.0%
F	1622	14.9%
e	437	4.0%
d	436	4.0%
n	394	3.6%
o	378	3.5%
S	373	3.4%
Other values (12)	593	5.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10906	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	1708	15.7%
i	1682	15.4%
t	1643	15.1%
s	1640	15.0%
F	1622	14.9%
e	437	4.0%
d	436	4.0%
n	394	3.6%
o	378	3.5%
S	373	3.4%
Other values (12)	593	5.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10906	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	1708	15.7%
i	1682	15.4%
t	1643	15.1%
s	1640	15.0%
F	1622	14.9%
e	437	4.0%
d	436	4.0%
n	394	3.6%
o	378	3.5%
S	373	3.4%
Other values (12)	593	5.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10906	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	1708	15.7%
i	1682	15.4%
t	1643	15.1%
s	1640	15.0%
F	1622	14.9%
e	437	4.0%
d	436	4.0%
n	394	3.6%
o	378	3.5%
S	373	3.4%
Other values (12)	593	5.4%

Seller Type
Categorical

Imbalance

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

Individual	1997
Corporate	57
Commercial Registration	5

Length

Max length	23
Median length	10
Mean length	10.003885
Min length	9

Characters and Unicode

Total characters	20598
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Corporate
2nd row	Individual
3rd row	Individual
4th row	Individual
5th row	Individual

Common Values

Value	Count	Frequency (%)
Individual	1997	97.0%
Corporate	57	2.8%
Commercial Registration	5	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
individual	1997	96.8%
corporate	57	2.8%
commercial	5	0.2%
registration	5	0.2%

Most occurring characters

Value	Count	Frequency (%)
i	4009	19.5%
d	3994	19.4%
a	2064	10.0%
l	2002	9.7%
n	2002	9.7%
I	1997	9.7%
v	1997	9.7%
u	1997	9.7%
o	124	0.6%
r	124	0.6%
Other values (10)	288	1.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20598	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	4009	19.5%
d	3994	19.4%
a	2064	10.0%
l	2002	9.7%
n	2002	9.7%
I	1997	9.7%
v	1997	9.7%
u	1997	9.7%
o	124	0.6%
r	124	0.6%
Other values (10)	288	1.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20598	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	4009	19.5%
d	3994	19.4%
a	2064	10.0%
l	2002	9.7%
n	2002	9.7%
I	1997	9.7%
v	1997	9.7%
u	1997	9.7%
o	124	0.6%
r	124	0.6%
Other values (10)	288	1.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20598	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	4009	19.5%
d	3994	19.4%
a	2064	10.0%
l	2002	9.7%
n	2002	9.7%
I	1997	9.7%
v	1997	9.7%
u	1997	9.7%
o	124	0.6%
r	124	0.6%
Other values (10)	288	1.4%

Engine
Text

Missing

Distinct	108
Distinct (%)	5.5%
Missing	80
Missing (%)	3.9%
Memory size	16.2 KiB

Length

Max length	7
Median length	7
Mean length	6.8943911
Min length	6

Characters and Unicode

Total characters	13644
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	1.0%

Sample

1st row	1198 cc
2nd row	1248 cc
3rd row	1197 cc
4th row	1197 cc
5th row	2393 cc

Value	Count	Frequency (%)
cc	1979	50.0%
1197	231	5.8%
1248	122	3.1%
998	121	3.1%
1497	84	2.1%
1968	82	2.1%
1995	82	2.1%
2179	73	1.8%
1498	64	1.6%
1582	56	1.4%
Other values (99)	1064	26.9%

Most occurring characters

Value	Count	Frequency (%)
c	3958	29.0%
9	2039	14.9%
1	1983	14.5%
	1979	14.5%
8	729	5.3%
2	626	4.6%
7	601	4.4%
4	560	4.1%
5	395	2.9%
6	353	2.6%
Other values (2)	421	3.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13644	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
c	3958	29.0%
9	2039	14.9%
1	1983	14.5%
	1979	14.5%
8	729	5.3%
2	626	4.6%
7	601	4.4%
4	560	4.1%
5	395	2.9%
6	353	2.6%
Other values (2)	421	3.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13644	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
c	3958	29.0%
9	2039	14.9%
1	1983	14.5%
	1979	14.5%
8	729	5.3%
2	626	4.6%
7	601	4.4%
4	560	4.1%
5	395	2.9%
6	353	2.6%
Other values (2)	421	3.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13644	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
c	3958	29.0%
9	2039	14.9%
1	1983	14.5%
	1979	14.5%
8	729	5.3%
2	626	4.6%
7	601	4.4%
4	560	4.1%
5	395	2.9%
6	353	2.6%
Other values (2)	421	3.1%

Max Power
Text

Missing

Distinct	335
Distinct (%)	16.9%
Missing	80
Missing (%)	3.9%
Memory size	16.2 KiB

Length

Max length	19
Median length	18
Mean length	16.915109
Min length	7

Characters and Unicode

Total characters	33475
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	117 ?
Unique (%)	5.9%

Sample

1st row	87 bhp @ 6000 rpm
2nd row	74 bhp @ 4000 rpm
3rd row	79 bhp @ 6000 rpm
4th row	82 bhp @ 6000 rpm
5th row	148 bhp @ 3400 rpm

Value	Count	Frequency (%)
	1851	19.7%
bhp	1851	19.7%
rpm	1847	19.7%
4000	431	4.6%
6000	422	4.5%
3750	143	1.5%
89	139	1.5%
5500	97	1.0%
3600	92	1.0%
67	89	0.9%
Other values (228)	2414	25.7%

Most occurring characters

Value	Count	Frequency (%)
	7397	22.1%
0	5016	15.0%
p	3698	11.0%
@	1979	5.9%
b	1851	5.5%
h	1851	5.5%
r	1847	5.5%
m	1847	5.5%
1	1301	3.9%
6	1178	3.5%
Other values (8)	5510	16.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	33475	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	7397	22.1%
0	5016	15.0%
p	3698	11.0%
@	1979	5.9%
b	1851	5.5%
h	1851	5.5%
r	1847	5.5%
m	1847	5.5%
1	1301	3.9%
6	1178	3.5%
Other values (8)	5510	16.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	33475	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	7397	22.1%
0	5016	15.0%
p	3698	11.0%
@	1979	5.9%
b	1851	5.5%
h	1851	5.5%
r	1847	5.5%
m	1847	5.5%
1	1301	3.9%
6	1178	3.5%
Other values (8)	5510	16.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	33475	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	7397	22.1%
0	5016	15.0%
p	3698	11.0%
@	1979	5.9%
b	1851	5.5%
h	1851	5.5%
r	1847	5.5%
m	1847	5.5%
1	1301	3.9%
6	1178	3.5%
Other values (8)	5510	16.5%

Max Torque
Text

Missing

Distinct	290
Distinct (%)	14.7%
Missing	80
Missing (%)	3.9%
Memory size	16.2 KiB

Length

Max length	22
Median length	17
Mean length	16.371905
Min length	7

Characters and Unicode

Total characters	32400
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	4.6%

Sample

1st row	109 Nm @ 4500 rpm
2nd row	190 Nm @ 2000 rpm
3rd row	112.7619 Nm @ 4000 rpm
4th row	113 Nm @ 4200 rpm
5th row	343 Nm @ 1400 rpm

Value	Count	Frequency (%)
	1851	19.7%
rpm	1851	19.7%
nm	1851	19.7%
1750	382	4.1%
4000	240	2.6%
1500	202	2.2%
1600	160	1.7%
3500	128	1.4%
200	121	1.3%
400	113	1.2%
Other values (219)	2485	26.5%

Most occurring characters

Value	Count	Frequency (%)
	7405	22.9%
0	5432	16.8%
m	3702	11.4%
1	2084	6.4%
@	1979	6.1%
p	1851	5.7%
N	1851	5.7%
r	1851	5.7%
5	1460	4.5%
4	1215	3.8%
Other values (7)	3570	11.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	32400	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	7405	22.9%
0	5432	16.8%
m	3702	11.4%
1	2084	6.4%
@	1979	6.1%
p	1851	5.7%
N	1851	5.7%
r	1851	5.7%
5	1460	4.5%
4	1215	3.8%
Other values (7)	3570	11.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	32400	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	7405	22.9%
0	5432	16.8%
m	3702	11.4%
1	2084	6.4%
@	1979	6.1%
p	1851	5.7%
N	1851	5.7%
r	1851	5.7%
5	1460	4.5%
4	1215	3.8%
Other values (7)	3570	11.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	32400	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	7405	22.9%
0	5432	16.8%
m	3702	11.4%
1	2084	6.4%
@	1979	6.1%
p	1851	5.7%
N	1851	5.7%
r	1851	5.7%
5	1460	4.5%
4	1215	3.8%
Other values (7)	3570	11.0%

Drivetrain
Categorical

Missing

Distinct	3
Distinct (%)	0.2%
Missing	136
Missing (%)	6.6%
Memory size	16.2 KiB

FWD	1330
RWD	321
AWD	272

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5769
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FWD
2nd row	FWD
3rd row	FWD
4th row	FWD
5th row	RWD

Common Values

Value	Count	Frequency (%)
FWD	1330	64.6%
RWD	321	15.6%
AWD	272	13.2%
(Missing)	136	6.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
fwd	1330	69.2%
rwd	321	16.7%
awd	272	14.1%

Most occurring characters

Value	Count	Frequency (%)
W	1923	33.3%
D	1923	33.3%
F	1330	23.1%
R	321	5.6%
A	272	4.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5769	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
W	1923	33.3%
D	1923	33.3%
F	1330	23.1%
R	321	5.6%
A	272	4.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5769	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
W	1923	33.3%
D	1923	33.3%
F	1330	23.1%
R	321	5.6%
A	272	4.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5769	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
W	1923	33.3%
D	1923	33.3%
F	1330	23.1%
R	321	5.6%
A	272	4.7%

Length
Real number (ℝ)

Missing

Distinct	248
Distinct (%)	12.4%
Missing	64
Missing (%)	3.1%
Infinite	0
Infinite (%)	0.0%
Mean	4280.8607

Minimum	3099
Maximum	5569
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	3099
5-th percentile	3565
Q1	3985
median	4370
Q3	4629
95-th percentile	4936
Maximum	5569
Range	2470
Interquartile range (IQR)	644

Descriptive statistics

Standard deviation	442.45851
Coefficient of variation (CV)	0.10335737
Kurtosis	-0.82045722
Mean	4280.8607
Median Absolute Deviation (MAD)	375
Skewness	-0.02152263
Sum	8540317
Variance	195769.53
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3995	221	10.7%
4440	70	3.4%
4270	57	2.8%
3985	55	2.7%
4456	44	2.1%
3850	42	2.0%
3765	40	1.9%
4585	39	1.9%
4490	36	1.7%
4735	34	1.7%
Other values (238)	1357	65.9%
(Missing)	64	3.1%

Value	Count	Frequency (%)
3099	1	< 0.1%
3395	20	1.0%
3429	4	0.2%
3445	2	0.1%
3495	23	1.1%
3515	4	0.2%
3520	4	0.2%
3539	13	0.6%
3545	11	0.5%
3565	25	1.2%

Value	Count	Frequency (%)
5569	2	0.1%
5462	1	< 0.1%
5453	1	< 0.1%
5399	1	< 0.1%
5265	1	< 0.1%
5255	1	< 0.1%
5252	3	0.1%
5247	1	< 0.1%
5246	5	0.2%
5226	3	0.1%

Width
Real number (ℝ)

Missing

Distinct	170
Distinct (%)	8.5%
Missing	64
Missing (%)	3.1%
Infinite	0
Infinite (%)	0.0%
Mean	1767.992

Minimum	1475
Maximum	2220
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	1475
5-th percentile	1495
Q1	1695
median	1770
Q3	1831.5
95-th percentile	2044
Maximum	2220
Range	745
Interquartile range (IQR)	136.5

Descriptive statistics

Standard deviation	135.26583
Coefficient of variation (CV)	0.076508167
Kurtosis	0.89759088
Mean	1767.992
Median Absolute Deviation (MAD)	75
Skewness	0.30833494
Sum	3527144
Variance	18296.843
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1695	201	9.8%
1780	62	3.0%
1790	61	3.0%
1660	51	2.5%
1680	51	2.5%
1890	49	2.4%
1475	49	2.4%
1820	46	2.2%
1745	46	2.2%
1734	44	2.1%
Other values (160)	1335	64.8%
(Missing)	64	3.1%

Value	Count	Frequency (%)
1475	49	2.4%
1490	31	1.5%
1495	29	1.4%
1500	3	0.1%
1515	2	0.1%
1520	6	0.3%
1525	7	0.3%
1550	14	0.7%
1560	4	0.2%
1579	24	1.2%

Value	Count	Frequency (%)
2220	4	0.2%
2183	1	< 0.1%
2173	1	< 0.1%
2157	8	0.4%
2155	1	< 0.1%
2141	19	0.9%
2139	1	< 0.1%
2120	9	0.4%
2110	1	< 0.1%
2105	1	< 0.1%

Height
Real number (ℝ)

Missing

Distinct	196
Distinct (%)	9.8%
Missing	64
Missing (%)	3.1%
Infinite	0
Infinite (%)	0.0%
Mean	1591.7353

Minimum	1165
Maximum	1995
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	1165
5-th percentile	1432
Q1	1485
median	1545
Q3	1675
95-th percentile	1845.3
Maximum	1995
Range	830
Interquartile range (IQR)	190

Descriptive statistics

Standard deviation	136.07396
Coefficient of variation (CV)	0.085487802
Kurtosis	0.034725652
Mean	1591.7353
Median Absolute Deviation (MAD)	79
Skewness	0.83777993
Sum	3175512
Variance	18516.121
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1475	88	4.3%
1505	80	3.9%
1530	63	3.1%
1520	61	3.0%
1495	58	2.8%
1640	56	2.7%
1500	51	2.5%
1485	46	2.2%
1555	44	2.1%
1700	43	2.1%
Other values (186)	1405	68.2%
(Missing)	64	3.1%

Value	Count	Frequency (%)
1165	1	< 0.1%
1213	1	< 0.1%
1281	2	0.1%
1295	1	< 0.1%
1297	1	< 0.1%
1304	1	< 0.1%
1353	1	< 0.1%
1366	2	0.1%
1370	1	< 0.1%
1391	2	0.1%

Value	Count	Frequency (%)
1995	20	1.0%
1975	10	0.5%
1940	2	0.1%
1930	9	0.4%
1925	1	< 0.1%
1922	5	0.2%
1920	2	0.1%
1901	1	< 0.1%
1900	1	< 0.1%
1895	3	0.1%

Seating Capacity
Real number (ℝ)

Missing

Distinct	6
Distinct (%)	0.3%
Missing	64
Missing (%)	3.1%
Infinite	0
Infinite (%)	0.0%
Mean	5.3062657

Minimum	2
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	5
median	5
Q3	5
95-th percentile	7
Maximum	8
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.82217013
Coefficient of variation (CV)	0.15494327
Kurtosis	2.5744776
Mean	5.3062657
Median Absolute Deviation (MAD)	0
Skewness	1.4680826
Sum	10586
Variance	0.67596373
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
5	1615	78.4%
7	273	13.3%
4	42	2.0%
8	35	1.7%
6	23	1.1%
2	7	0.3%
(Missing)	64	3.1%

Value	Count	Frequency (%)
2	7	0.3%
4	42	2.0%
5	1615	78.4%
6	23	1.1%
7	273	13.3%
8	35	1.7%

Value	Count	Frequency (%)
8	35	1.7%
7	273	13.3%
6	23	1.1%
5	1615	78.4%
4	42	2.0%
2	7	0.3%

Fuel Tank Capacity
Real number (ℝ)

Missing

Distinct	55
Distinct (%)	2.8%
Missing	113
Missing (%)	5.5%
Infinite	0
Infinite (%)	0.0%
Mean	52.00221

Minimum	15
Maximum	105
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	15
5-th percentile	35
Q1	41.25
median	50
Q3	60
95-th percentile	80
Maximum	105
Range	90
Interquartile range (IQR)	18.75

Descriptive statistics

Standard deviation	15.110198
Coefficient of variation (CV)	0.29056838
Kurtosis	0.35516399
Mean	52.00221
Median Absolute Deviation (MAD)	10
Skewness	0.8530031
Sum	101196.3
Variance	228.31808
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35	222	10.8%
60	155	7.5%
45	154	7.5%
43	146	7.1%
50	132	6.4%
55	117	5.7%
42	111	5.4%
40	106	5.1%
80	92	4.5%
37	89	4.3%
Other values (45)	622	30.2%
(Missing)	113	5.5%

Value	Count	Frequency (%)
15	1	< 0.1%
27	5	0.2%
28	30	1.5%
32	27	1.3%
35	222	10.8%
37	89	4.3%
38	1	< 0.1%
40	106	5.1%
41	6	0.3%
42	111	5.4%

Value	Count	Frequency (%)
105	3	0.1%
104	1	< 0.1%
100	15	0.7%
95	2	0.1%
93	18	0.9%
92	1	< 0.1%
90	10	0.5%
85	5	0.2%
83	6	0.3%
82.5	3	0.1%

Interactions

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	Make	Model	Price	Year	Kilometer	Fuel Type	Transmission	Location	Color	Owner	Seller Type	Engine	Max Power	Max Torque	Drivetrain	Length	Width	Height	Seating Capacity	Fuel Tank Capacity
0	Honda	Amaze 1.2 VX i-VTEC	505000	2017	87150	Petrol	Manual	Pune	Grey	First	Corporate	1198 cc	87 bhp @ 6000 rpm	109 Nm @ 4500 rpm	FWD	3990.0	1680.0	1505.0	5.0	35.0
1	Maruti Suzuki	Swift DZire VDI	450000	2014	75000	Diesel	Manual	Ludhiana	White	Second	Individual	1248 cc	74 bhp @ 4000 rpm	190 Nm @ 2000 rpm	FWD	3995.0	1695.0	1555.0	5.0	42.0
2	Hyundai	i10 Magna 1.2 Kappa2	220000	2011	67000	Petrol	Manual	Lucknow	Maroon	First	Individual	1197 cc	79 bhp @ 6000 rpm	112.7619 Nm @ 4000 rpm	FWD	3585.0	1595.0	1550.0	5.0	35.0
3	Toyota	Glanza G	799000	2019	37500	Petrol	Manual	Mangalore	Red	First	Individual	1197 cc	82 bhp @ 6000 rpm	113 Nm @ 4200 rpm	FWD	3995.0	1745.0	1510.0	5.0	37.0
4	Toyota	Innova 2.4 VX 7 STR [2016-2020]	1950000	2018	69000	Diesel	Manual	Mumbai	Grey	First	Individual	2393 cc	148 bhp @ 3400 rpm	343 Nm @ 1400 rpm	RWD	4735.0	1830.0	1795.0	7.0	55.0
5	Maruti Suzuki	Ciaz ZXi	675000	2017	73315	Petrol	Manual	Pune	Grey	First	Individual	1373 cc	91 bhp @ 6000 rpm	130 Nm @ 4000 rpm	FWD	4490.0	1730.0	1485.0	5.0	43.0
6	Mercedes-Benz	CLA 200 Petrol Sport	1898999	2015	47000	Petrol	Automatic	Mumbai	White	Second	Individual	1991 cc	181 bhp @ 5500 rpm	300 Nm @ 1200 rpm	FWD	4630.0	1777.0	1432.0	5.0	NaN
7	BMW	X1 xDrive20d M Sport	2650000	2017	75000	Diesel	Automatic	Coimbatore	White	Second	Individual	1995 cc	188 bhp @ 4000 rpm	400 Nm @ 1750 rpm	AWD	4439.0	1821.0	1612.0	5.0	51.0
8	Skoda	Octavia 1.8 TSI Style Plus AT [2017]	1390000	2017	56000	Petrol	Automatic	Mumbai	White	First	Individual	1798 cc	177 bhp @ 5100 rpm	250 Nm @ 1250 rpm	FWD	4670.0	1814.0	1476.0	5.0	50.0
9	Nissan	Terrano XL (D)	575000	2015	85000	Diesel	Manual	Mumbai	White	First	Individual	1461 cc	84 bhp @ 3750 rpm	200 Nm @ 1900 rpm	FWD	4331.0	1822.0	1671.0	5.0	50.0

	Make	Model	Price	Year	Kilometer	Fuel Type	Transmission	Location	Color	Owner	Seller Type	Engine	Max Power	Max Torque	Drivetrain	Length	Width	Height	Seating Capacity	Fuel Tank Capacity
2049	Mercedes-Benz	GLS 400 4MATIC	5950000	2017	80000	Petrol	Automatic	Delhi	Black	First	Individual	2996 cc	329 bhp @ 5250 rpm	480 Nm @ 1600 rpm	AWD	5130.0	1934.0	1850.0	5.0	100.0
2050	Hyundai	Creta SX Plus 1.6 Petrol	891000	2016	47000	Petrol	Manual	Delhi	White	First	Individual	1591 cc	122 bhp @ 6400 rpm	154 Nm @ 4850 rpm	FWD	4270.0	1780.0	1630.0	5.0	60.0
2051	Maruti Suzuki	Vitara Brezza VXi	925000	2021	48000	Petrol	Manual	Bangalore	White	First	Individual	1462 cc	103 bhp @ 6000 rpm	138 Nm @ 4400 rpm	FWD	3995.0	1790.0	1640.0	5.0	48.0
2052	Hyundai	i20 Sportz 1.4 CRDI	409999	2014	68000	Diesel	Manual	Agra	Silver	First	Individual	1396 cc	90@4000	220@1750	NaN	3940.0	1710.0	1505.0	5.0	45.0
2053	Maruti Suzuki	Ritz Vxi (ABS) BS-IV	245000	2014	79000	Petrol	Manual	Faridabad	White	Second	Individual	1197 cc	85 bhp @ 6000 rpm	113 Nm @ 4500 rpm	FWD	3775.0	1680.0	1620.0	5.0	43.0
2054	Mahindra	XUV500 W8 [2015-2017]	850000	2016	90300	Diesel	Manual	Surat	White	First	Individual	2179 cc	138 bhp @ 3750 rpm	330 Nm @ 1600 rpm	FWD	4585.0	1890.0	1785.0	7.0	70.0
2055	Hyundai	Eon D-Lite +	275000	2014	83000	Petrol	Manual	Ahmedabad	White	Second	Individual	814 cc	55 bhp @ 5500 rpm	75 Nm @ 4000 rpm	FWD	3495.0	1550.0	1500.0	5.0	32.0
2056	Ford	Figo Duratec Petrol ZXI 1.2	240000	2013	73000	Petrol	Manual	Thane	Silver	First	Individual	1196 cc	70 bhp @ 6250 rpm	102 Nm @ 4000 rpm	FWD	3795.0	1680.0	1427.0	5.0	45.0
2057	BMW	5-Series 520d Luxury Line [2017-2019]	4290000	2018	60474	Diesel	Automatic	Coimbatore	White	First	Individual	1995 cc	188 bhp @ 4000 rpm	400 Nm @ 1750 rpm	RWD	4936.0	1868.0	1479.0	5.0	65.0
2058	Mahindra	Bolero Power Plus ZLX [2016-2019]	670000	2017	72000	Diesel	Manual	Guwahati	White	First	Individual	1493 cc	70 bhp @ 3600 rpm	195 Nm @ 1400 rpm	RWD	3995.0	1745.0	1880.0	7.0	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts